Lead Software Engineer - AI Developer

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Category:
Software Engineering

Job Schedule:

Full time

Posted Date: T12:41:38+00:00

Job Shift:

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Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan

Chase within the Community & Consumer Bank - CX Loyalty Travel team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

* Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors

* Develops secure and high-quality production code, and reviews and debugs code written by others

* Drives decisions that influence the product design, application functionality, and technical operations and processes

* Serves as a function-wide subject matter expert in one or more areas of focus

* Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

* Influences peers and project decision-makers to consider the use and application of leading-edge technologies

* Adds to the team culture of opportunity, inclusion, and respect

* Ability to tackle design and functionality problems independently with little to no oversight

Required qualifications, capabilities, and skills

* Formal training or certification on software engineering concepts and 10+ years applied experience

* Advanced in programming languages Java, Python or Node.js

* Strong proficiency with RAG architectures - chunking strategies, embedding models, vector stores (Pinecone, Open Search, pgvector, FAISS)

* Experience with AI orchestration frameworks:
Lang Chain, Llama Index, Semantic Kernel, or CrewAI

* Hands-on experience with AWS Bedrock, Anthropic Claude models, and model invocation APIs

* Proven prompt engineering skills - system prompts, few-shot, chain-of-thought, tool use, structured outputs

* Experience building conversational AI: chatbots (text) and voicebots (speech-to-text, text-to-speech integration)

* Proficiency with AWS services (Lambda, Step Functions, API Gateway, S3, Dynamo

DB, SQS)

* Experience with CI/CD pipelines, containerization (Docker, ECS/EKS), and infrastructure-as-code

* Strong understanding of API design (REST, Graph

QL), microservices architecture, and event-driven systems

* Familiarity with evaluation frameworks for LLM outputs.

Experience with guardrails, content filtering, and responsible AI practices

Preferred qualifications, capabilities, and skills

* Financial Services industry experience